Research

Senior Researcher:
The goal of this project is to reconcile two methods for modeling change in social networks over time: a class of statistical models and intelligent agent models. The research contrasts the roperties of these two approaches, exploring what qualitative dynamic behaviors in social networks are... more
Senior Researcher:
NISS conducted research in data confidentiality, data quality, and data integration. Prototypes were built which could scale to operate on large sets of Federally held data. Researchers partnered with several large Federal Government statistical agencies. This topic was of particular importance... more
Senior Researcher:
NISS studied how to conduct data swapping, one of a number of techniques meant to distort confidentiality-threatening high-dimensional characteristics of a database while preserving non-threatening low-dimensional characteristics. Data swapping exchanges attribute values between records. The issues... more
Senior Researcher:
NISS was hired to help develop and build systems that expanded to Federal data but that preserved the confidentiality of the data and privacy of subjects. The systems would respond to queries from networked users of Federal data bases by performing and reporting statistical analyses that extract... more